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Co-authored-by: Arik Chakma <arikchangma@gmail.com>
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Krishna Chaiatanya
2024-09-16 18:45:20 +05:30
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# Flink
Apache Flink is a distributed stream processing framework that is used to process large amounts of data in real-time. It is designed to be highly scalable and fault-tolerant. Flink is built on top of the Apache Kafka messaging system and is used to process data streams in real-time.
Apache Flink is an open-source stream processing framework designed for real-time and batch data processing with low latency and high throughput. It supports event time processing, fault tolerance, and stateful operations, making it ideal for applications like real-time analytics, fraud detection, and event-driven systems. Flink is highly scalable, integrates with various data systems, and is widely used in industries for large-scale, real-time data processing tasks.
Visit the following resources to learn more:
- [@article@Apache Flink Documentation](https://flink.apache.org/)
- [@feed@Explore top posts about Apache Flink](https://app.daily.dev/tags/apache-flink?ref=roadmapsh)
-[@reference@Apache Flink Tutorialpoint](https://www.tutorialspoint.com/apache_flink/apache_flink_introduction.htm)